AI Operations Lead

About the Role

Enterprise Technology (formerly Global Technology Services) is a global organization within Transamerica. We provide dedicated support to Transamerica and bring all Aegon's business units together through the use of technology. We provide the backbone—the infrastructure—for how everything works. We’re creating the company’s AI environment, building a flexible ‘cloud experience’ for internal hosting services, designing frameworks for data governance and management, and ensuring the security and stability of the company’s technology.

We enable the business units to move more quickly and deliver to our clients in the best possible way. Whether customers are interested in insurance products, annuities, or financial services, we ensure their information is safe. Our global teams are comprised of experts in application development, information security, infrastructure services, data & analytics, risk & controls, procurement, program management, and architecture. With a focus on supporting employees’ development, our Talent Marketplace enables colleagues to take on gigs to broaden their experience.

The most important quality in the people who join us is curiosity. We value individuals who are naturally inquisitive, confident enough to challenge the way we do things, and eager to help us adapt to rapidly changing technology.

Aegon’s Core AI Team is scaling rapidly to meet growing demand for AI-driven transformation. We are seeking an experienced AI Operations (Platform) Lead to evolve the organization’s AI platform and operational services, develop and mature AI operations and customer support processes, drive and support AI Platform adoption, and provide AI expertise to accelerate developer onboarding and enablement.

Responsibilities

• Own the operational health, monitoring, and performance of Aegon’s Enterprise Launchpad AI Platform, AI chatbot, and other related services.
• Own and continuously improve the Launchpad DevOps CI/CD pipeline and supporting tooling.
• Lead and develop a distributed team of three engineers (across US and EU time zones), providing platform onboarding, training, enablement, and Level 2 support.
• Coordinate delivery across a broader virtual team, including Launchpad developers, cloud, security, AI specialists, and Business Unit engineering teams.
• Act as a hands-on technical escalation point for complex platform, integration, or operational issues.
• Mature and run incident, problem, and service management practices, including root cause analysis and continuous improvement.
• Evolve and automate the platform onboarding journey, improving the developer experience through better tooling, documentation, and guidance.
• Own and maintain developer standards, self-service documentation, user guides, developer best practices, and intranet content for the Launchpad platform.
• Partner closely with security, risk, and architecture teams to ensure safe, compliant, and responsible AI operations.
• Track and report on platform adoption, reliability, and operational KPIs, using insights to drive improvements and new capabilities.
• Provide mentoring and coaching to members of the Launchpad Team development and support team.

Requirements

• Bachelor’s degree in computer science, Artificial Intelligence, Data Science, or a related discipline.
• 10+ years’ experience in technology operations, platform delivery, or engineering enablement roles.
• Experience supporting Generative AI or LLM gateway-based platforms in production.
• Proven experience leading small engineering teams, including people management and cross-team coordination.
• Strong Python proficiency, with experience delivering production-ready solutions.
• Solid understanding of the GenAI ecosystem and agentic frameworks and protocols, such as Strands SDK, LangChain, A2A, and MCP.
• Appreciation of DevOps practices and automated CI/CD pipelines, and common security, scanning, and testing tools.
• Deep appreciation for developer experience, including onboarding, enablement, and high-quality documentation.
• Working knowledge of AWS Cloud, AWS AI infrastructure, and related services.
• Excellent written and verbal communication skills, with the ability to translate complex technical topics for diverse audiences.
• Pragmatic, service-oriented mindset, with a strong focus on operational excellence and continuous improvement.
• Demonstrated ability to collaborate with diverse stakeholders to deliver scalable, enterprise AI solutions.

Preferred Qualifications

• Professional certifications in AI and/or cloud technologies.
• Experience working in the insurance industry or other regulated sectors.
• Master’s degree in computer science, Artificial Intelligence, Data Science, or a related field.
• Experience building AI solutions using AWS AgentCore.

Working Conditions

• Moderate travel to other offices.
• Some work outside of normal business hours may be required due to the global nature of the business.

Pay

The salary for this position generally ranges between $131,200 - $164,000 annually. Actual starting pay is determined by several factors including qualifications, experience, geography, work location designation (in-office, hybrid, remote), and operational needs. Salary may vary above and below the stated amounts, as permitted by applicable law. Additionally, this position is typically eligible for an Annual Bonus based on the Company Bonus Plan/Individual Performance and is at the Company’s discretion.

Schedule

This is a hybrid position requiring three days in office per week in one of our hub locations (Cedar Rapids, Denver, Philadelphia).